Author

Ziyi Zhou

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Preprint Aug 2026

TrustRoboReward: Preference-Ordered Isotonic Score Editing for Multi-Paradigm Robot Reward Models

This work proposes TrustRoboReward, a multi-paradigm reward modeling framework equipped with Preference-Ordered Isotonic Score Editing (POISE), and constructs a unified four-paradigm dataset with trajectory progress scoring, video-QA answer quality scoring, and their pairwise counterparts.

Yi-Dong Wang, Yan Zhan, Ziteng Feng et al. · 0 citations

Jul 2026

IMBench: A Benchmark for Intuitive Robotic Manipulation

IMBENCH is introduced, a benchmark designed to evaluate intuitive manipulation as an integrated capability spanning perception, physical reasoning, action generation, and iterative execution, and position IMBENCH as a step toward evaluating and enabling more integrated, adaptive physical intelligence.

Anurag Maurya, Sukhvansh Jain, Prajwal Avhad et al. · arXiv.org · 0 citations